Senior Manager, Forward Deployed AI Engineer

About Baringa

Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise and enabled by advanced technology the firm helps clients to deliver with greater confidence and certainty. With over 2000 people across the UK Europe North America Asia and Australia the firm combines global insight with local understanding.

The firm works across energy and resources financial services government and public sector consumer products and retail pharmaceuticals and life sciences manufacturing and technology media and telecoms with capabilities spanning strategy transformation and operational excellence all powered by advanced technology data AI and digital innovation.

Clients value Baringas collaborative approach and the way its teams integrate seamlessly all working with a shared understanding of what matters most. The firm is known for its kind curious experts who listen closely and care deeply about client success as they help clients transform energy markets modernise financial platforms expand telecoms and digital networks through advanced data analytics enable digital services in government and unlock growth in consumer sectors.

Certified as aGreat Place to Work around the world Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings and by Forbes for four consecutive years as one of the Worlds Best Management Consulting Firms.

Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability.

The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients teams combining deep technical specialism with the commercial and leadership skills to grow and shape our practice.

This is a role for someone who thrives at the intersection of client advisory technical architecture and hands-on delivery leadership and who has a genuine passion for bringing AI solutions to production at scale.

Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data turn it into actionable insights and better leverage itthrough the use ofAI and Machine Learning solutions directly embedded into business processes. We support clients acrossa number ofindustries and offer deepexpertisein AI/ML Cloud Platform Engineering and Managed Solutions.

What you will be doing

As a Senior Manager in SAIL you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering Platform Engineering or Software Engineering and apply it to create real lasting value for our clients.

Although we do not expect you to be an expert inall ofthe below activities simultaneously our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that.

Key responsibilities span the following areas.

Engagement Leadership:

• Own and lead end-to-end delivery of complex AI and technology consulting engagements taking accountability for scope qualityriskand client outcomes.

• Lead and resource multi-disciplinary delivery teams including engineers data scientists and consultants providing clear direction technicaloversightand people development.

• Manage engagement resourcing: forecast team requirements work with practice leadership to staff engagements and develop the talent pipeline through mentoring and support of junior practitioners.

• Proactivelyidentifyand manage delivery risks in complex stakeholder environments escalating appropriately andmaintainingclient confidence throughout.

• Communicate clearly to both technical teams and senior client stakeholders translating complexity into actionable insight and decisive recommendation.

• Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead.

Business Development & Bid Support:

• Play a leading role in business development:identifyingnew opportunities shaping propositions and supporting or leading bids and tender responses for AI and technology engagements.

• Contribute to proposal writing articulating Baringas capabilities and differentiators including authoring technical and delivery sections of bid responses to client tenders and RFPs.

• Build andmaintainstrong client relationships acting as a trusted advisor and developing opportunities for follow-on engagement.

• Support practice-level growth initiatives including account planning capability development and go-to-market positioning for AI and solutions engineering services.

Technical Architecture & Delivery:

• Lead architecture design for AI-enabled platforms and cloud solutions balancing technical excellence with delivery pragmatism and commercial realities.

• Provide hands-on technical direction whererequired reviewing designscodeand delivery artefacts tomaintainquality standards across the engagement.

• Champion the path from prototype to production: driving robustscalableand secure AI deployments that go beyond proof-of-concept thinking toreal businessimpact at scale.

• Act as a credible technical voice with client architects CTOs and engineering leads earning trust through depth of knowledge and a demonstrable deliverytrack record.
  

AI/ML Specialism

You will bring expert-level knowledge in at least one of the following domains and working knowledge across the others:

Agentic AI & LLM Engineering:

• Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG MCP servers and prompt engineering at scale.

• Strong opinions on secure resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks.

Machine Learning Engineering:

• End-to-end ML lifecycleexpertise: feature engineering model trainingevaluationand production deployment includingMLOps monitoring and drift detection.

• Practical knowledge of ML frameworks (e.g. scikit-learnPyTorchXGBoost) and cloud-native ML services (SageMaker Azure ML Vertex AI).

Platform & Cloud Engineering:

• Architecture and delivery of scalable cloud data and AI platforms on AWSAzureor GCP; experienced with containerisationIaC event-driven architectures and CI/CD.

• Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices.

Software Engineering:

• Production-grade Python services (FastAPI AWS Lambda event-driven patterns) and front-end development with React/ Material UI and SWR.

• Cloud architecture design capability across major providers; rounded understanding of database trade-offs relational NoSQLgraphand caching strategies.

• Strong engineering practices: CI/CD testing (Jest Cypress React Test Library) release management and security-conscious development.

• A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisationreliabilityand governance as by the technology itself.
  

Your Skills and Experience

Were seeking a technically credible commercially aware leader who brings a rare combination of delivery accountability client advisory skill and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale and who can inspire a team and a client with that same passion.

• 7 years in technology consulting softwareengineeringor AI/ML with at least 3 years in a senior leadership role including direct accountability for end-to-end engagement deliveryresourcingand commercial outcomes.

• Experience supporting or leading bid and proposal activity including writing technical and delivery sections of responses to client tenders and RFPs.

• SME-level depth in at least one of: Agentic AI/LLM Engineering Machine Learning Engineering Platform & Cloud Engineering or Software Engineering with strong architecture and design capability across clouddataand AI domains.

• Proven ability to build and lead high-performing delivery teams in complex stakeholder environments with experience engaging comfortably at CTO or engineering director level.

• Clear confident communicator able to make the complex accessible for technical and non-technical audiences alike and torepresentBaringasexpertisewith credibility.

• Masters degree in Computer Science Engineering Mathematics Data Science or related discipline or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional Google Professional ML Engineer).

• Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy financialservicesor public sector.

If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative people-first culture that values both technical rigour and human connection we would love to hear from you.

Join us

All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race ethnicity religion gender gender identity or expression sexual orientation nationality disability age faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

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